We are looking for a Senior Engineer who will join our team to be responsible for building out the data pipelines (data ingestion framework and ETL processing) that are scalable and reusable, also be responsible for transitioning data workloads to the Cloud. You will take responsibilities for all things related to system maintenance, application support, deployment and pipeline engineering and support. This includes learning and understanding upstream processes, pipelines and source systems.  This role will work with other cross functional teams to help build and support the next generation of data platform. 

Responsibilities:

• Possess an in-depth understanding of the data structures and governance
• Fundamental knowledge of modern cloud computing platforms and concepts
• Design, create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional/non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Cloud technologies
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Able to work in a fast-paced, multi-site location, team-oriented environment
• High level of attention to detail
• Strong work ethic and a make-it-happen attitude
• Ability to work and communicate effectively with Engineers and Business users
• Strong organizational and multitasking skills with ability to balance competing priorities

We’re seeking the candidates who are comfortable and have some experience with the AWS eco-system (or even certified for foundation and associate level, stretching this to professional).
This includes but is not limited to:
- Distributed Data Stores (specifically Aurora, ElasticSearch, ElastiCache/Redis, Neptune)
- Distributed streaming data flow / integration (specifically Flink, Glue, Kinesis family ..Streams/Firehose/Analytics)
- Distributed/parallel data processing workflows (specifically EKS, ECS, Fargate, Lambda)
- Query engines (specifically Athena, Redshift/Spectrum)
- Machine Learning (specifically EMR, SageMaker)
- Monitoring/Alerting/Telemetry/Triage (specifically CloudWatch, X-Ray, Kibana, Grafana)
Besides this we have a few technologies/systems to be deployed on-premise, which serve as edge- computing for our cloud env:
- Distributed data processing workflows (experience with Apache Spark and/or Apache Flink with Apache Beam is great)
- Resource Manager (experience with Apache Hadoop Yarn and/or Kubernetes would be fantastic)
- Distributed file-storage/object-storage (experience with HDFS or Ceph or GlusterFS or MinIO)
- Database (PostgreSQL)
- Monitoring, Alerting (Prometheus, Grafana)

WHY BECOME IT/DATA EXPERTS AT TECHCOMBANK?

• Investing over 300 million USD to develop large-scale IT projects, Techcombank is one of the leading bank in Technology trends in Vietnam
• You will grow with Techcombank by having the opportunity to learn from top experts from across the world
• Techcombank provides a rewarding remuneration structure that commensurate with your achievement and contribution
• Techcombank is the Top 2 Best place to work in the banking industry where you can experience various exciting activities throughout the year: Company anniversary, Team building, Active Saturday Off, Year End Party, etc.